Design Challenges and User Needs in Disaster Support Mobile Apps: A Large-Scale Analysis of Features and Reviews
July 11, 2024 Β· Declared Dead Β· + Add venue
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Muhamad Syukron, Anuradha Madugalla, Mojtaba Shahin, John Grundy
arXiv ID
2407.08145
Category
cs.SE: Software Engineering
Citations
2
Last Checked
4 months ago
Abstract
Disaster support mobile apps play a central role during emergencies in conveying timely alerts to communities and providing recovery guidance. Their importance continues to grow as climate change increases the frequency and intensity of disasters, and as mobile devices become a primary information source for most people. However, despite their critical role, there has been limited systematic investigation into how these apps are designed and how users experience them in real-world contexts. This paper presents a large-scale empirical study of disaster support mobile apps aimed at addressing this gap. We investigated 44 apps available on the Google Play Store and the App Store and analyzed 28,161 user reviews to understand common functionalities, user expectations, and challenges encountered during use. Our feature analysis identifies 13 core capabilities spanning the stages of preparation, response, and recovery of the disaster lifecycle. Topic Modelling revealed 18 topics, with the highest discussions focusing on app alert functionality, the use of maps, and monetary transactions. Sentiment analysis revealed that while 53.09% of users provided positive feedback, 24.30% expressed negative opinions, and 11.25% remained neutral. It also showed that signup/signin issues, network problems, and app crashes were the most frustrating to users. These impacted user safety by preventing access when it mattered most. Our findings emphasize the need to approach disaster apps as safety-critical and human-centred systems, where reliability and ease of use are essential. We provide practical recommendations to support developers and emergency agencies in improving the dependability and accessibility of future disaster support apps.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted